Y. J. Mo

8.6k total citations
12 papers, 17 citations indexed

About

Y. J. Mo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Accounting. According to data from OpenAlex, Y. J. Mo has authored 12 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Accounting. Recurrent topics in Y. J. Mo's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Ginseng Biological Effects and Applications (1 paper). Y. J. Mo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Ginseng Biological Effects and Applications (1 paper). Y. J. Mo collaborates with scholars based in China and United States. Y. J. Mo's co-authors include Feng Gao, Xiaoqing Bai, Bin Li, Mingmei Zhou, Hao Cui, Ting Zhang, Xiao-Tao He, Yifan Cheng, Xiuming Cui and Ya Li and has published in prestigious journals such as Carbohydrate Polymers, Journal of Ethnopharmacology and Journal of Affective Disorders.

In The Last Decade

Y. J. Mo

5 papers receiving 16 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Y. J. Mo China 3 8 5 2 2 2 12 17
Alexander Ostrovsky United States 3 4 0.5× 6 1.2× 1 0.5× 5 14
Zeqiang He China 2 3 0.4× 5 1.0× 3 8
M. Yang United States 3 3 0.4× 3 0.6× 4 10
D. Nguyen United States 2 3 0.4× 3 0.6× 1 0.5× 5 12
Dongyuan Yang China 3 3 0.4× 4 0.8× 6 10
Chen-Cheng Kuo Taiwan 3 3 0.4× 3 0.6× 3 15
M. Suzuki Japan 2 4 0.5× 3 0.6× 4 6
F. Li China 2 6 0.8× 2 1.0× 6 8
Zhicheng Ma China 1 6 0.8× 2 1.0× 4 6
M. Kupper Germany 3 2 0.3× 7 1.4× 1 0.5× 3 11

Countries citing papers authored by Y. J. Mo

Since Specialization
Citations

This map shows the geographic impact of Y. J. Mo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Y. J. Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. J. Mo more than expected).

Fields of papers citing papers by Y. J. Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. J. Mo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Y. J. Mo. The network helps show where Y. J. Mo may publish in the future.

Co-authorship network of co-authors of Y. J. Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Y. J. Mo. A scholar is included among the top collaborators of Y. J. Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Y. J. Mo. Y. J. Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Li, Ya, Min Zhang, Yong Hu, et al.. (2025). Pretreatment CT-Based Machine Learning Radiomics Model Predicts Response in Inoperable Stage III NSCLC Treated with Concurrent Radiochemotherapy Plus PD-1 Inhibitors. Technology in Cancer Research & Treatment. 24. 2244092997–2244092997. 1 indexed citations
3.
Mo, Y. J., Lijiang Chen, Lingfeng Zhang, & Qi Zhao. (2025). Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling. Bioengineering. 12(1). 85–85.
4.
Zhang, Mengtao, et al.. (2025). Does customer concentration intensify or alleviate stock price fluctuation?. International Review of Financial Analysis. 108. 104652–104652.
5.
Xiang, Huang, Lei Ma, Li Rao, & Y. J. Mo. (2025). Digital finance development, intellectual property protection, and regional innovation. Finance research letters. 86. 108217–108217.
6.
Mo, Y. J., Xiao-Tao He, Hao Cui, et al.. (2025). Gut microbiota: A new key of understanding for Panax notoginseng against multiple disorders and biotransformation. Journal of Ethnopharmacology. 341. 119306–119306. 4 indexed citations
7.
Mo, Y. J., et al.. (2025). Exploring the n-back task: insights, applications, and future directions. Frontiers in Human Neuroscience. 19. 1721330–1721330.
9.
Huang, Zhiyong, Y. J. Mo, Guangwen Cao, et al.. (2024). Ages-specific beverage consumption and its association with depression and anxiety disorders: A prospective cohort study in 188,355 participants. Journal of Affective Disorders. 371. 224–233.
10.
Chen, Weifeng, Y. J. Mo, Shichen Ji, et al.. (2024). Hyaluronic acid-functionalized ruthenium photothermal nanoenzyme for enhancing osteosarcoma chemotherapy: Cascade targeting and bidirectional modulation of drug resistance. Carbohydrate Polymers. 349(Pt A). 122945–122945. 3 indexed citations
11.
Fu, Hui, et al.. (2024). Pollution, fractionation and potential risks of V and Cd in soils from stone coal mines in Heshan region, Yiyang City. Environmental Earth Sciences. 83(22). 1 indexed citations
12.
Li, Bin, Y. J. Mo, Feng Gao, & Xiaoqing Bai. (2023). Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors. Electric Power Systems Research. 225. 109804–109804. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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